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_Nougat_Base_Edv_En_De_60-40_2Ktarget – AI Model by bustamiyusoef | AlphaNeural AI
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_Nougat_Base_Edv_En_De_60-40_2Ktarget
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transformers
safetensors
vision-encoder-decoder
image-to-text
generated_from_trainer
facebook/nougat-base
finetune
cc-by-nc-4.0
endpoints_compatible
us
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_Nougat_Base_Edv_En_De_60-40_5Ktarget
This model is a fine-tuned version of
facebook/nougat-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 103.2715
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 80
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
23.7954
1.0
60
1.9712
42.589
2.0
120
31.3115
341.666
3.0
180
79.0499
721.7489
4.0
240
100.3650
931.0995
4.9306
295
103.2715
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.3.2
Tokenizers 0.21.0
